
readers. The values to those annotating and subsequent readers are the acquisition of
deep knowledge and increased reading efficiency. Furthermore, the implications of the
work are that DL content grows dynamically as readers contribute knowledge, thus
assisting in the development of a reading community on DLs. A more important issue
is that annotated information from different readers has very high potential for
value-added reading knowledge utilizing data mining techniques.
Although this work has presented several implications of the proposed tool for
archiving and sharing reader knowledge in DLs, several other issues warrant further
investigation. Categorizing annotations as public and private will be a significant issue
in the future. Public annotations are for sharing knowledge, and private annotations
can preserve personal reading outcomes for knowledge management. Providing a
discussion board for comments or replies to annotations from readers can increase
interaction among readers. This would also prove helpful in creating a learning
community for a DL. Ming reading knowledge based on reader annotations with
ratings is a potentially fruitful research direction. Finally, the Taiwan library history
DL with the proposed annotation tool may benefit e-learning.
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About the authors
Chih-Ming Chen is currently an Associate Professor in the Graduate Institute of Library,
Information and Archival Studies at National Chengchi University, Taipei, Taiwan. He received
BSc. and MSc. degrees from the Department of Industrial Education at National Taiwan Normal
Developing a
library history
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